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🛠 Publications 🛠

  • Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    Under review.
  • Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification [arXiv]
    Seongho Keum, Sanghyun Kim, Soojeong Lee, Juho Lee
    Under review.
  • Towards safe self-distillation of Internet-scale text-to-image diffusion models [paper] [code]
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    ICML 2023 Workshop on Challenges of Deploying Generative AI
  • Modeling uplift from observational time-series in continual scenarios [paper] [code] [PMLR]
    Sanghyun Kim, Jungwon Choi, NamHee Kim, Jaesung Ryu, Juho Lee
    AAAI23 Bridge on Continual Casality (oral presentation), 2023
  • A simple yet powerful deep active learning with snapshot ensembles [paper] [code]
    Seohyeon Jung*, Sanghyun Kim*, Juho Lee
    (*: Equal Contribution)
    ICLR 2023

🛠 Tech Stack 🛠

👾 Programming Language 👾

                 

🧠 Framework & Library 🧠

               
       

✨ Tools ✨

       

Sanghyun Kim's Projects

ai612-project2-2023 icon ai612-project2-2023

Code repository for AI612 (Machine Learning for Healthcare) project 2 (2023 Spring)

fancy-parser icon fancy-parser

Fancy Parser for ML experiments, mostly based on HuggingFace's parser

safe-diffusion icon safe-diffusion

The official implementation of the paper "Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models" (ICML 2023 Workshop on Challenges in Deployable Generative AI)

snapshot-al icon snapshot-al

Official Implementation of the paper "A Simple yet Powerful Deep Active Learning with Snapshots Ensembles" (ICLR 2023)

ts4uplift icon ts4uplift

Official repository of the paper "Modeling Uplift from Observational Time-Series in Continual Scenarios" (Oral presentation, AAAI 2023 Bridge on Continual Causality)

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